Anna Britt Mahler
University of Arizona
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Featured researches published by Anna Britt Mahler.
Applied Optics | 2010
David J. Diner; Ab Davis; Bruce Hancock; Sven Geier; Brian Rheingans; Veljko M. Jovanovic; Michael A. Bull; David M. Rider; Russell A. Chipman; Anna Britt Mahler; Stephen C. McClain
We report on the construction and calibration of a dual photoelastic-modulator (PEM)-based polarimetric camera operating at 660?nm. This camera is our first prototype for a multispectral system being developed for airborne and spaceborne remote sensing of atmospheric aerosols. The camera includes a dual-PEM assembly integrated into a three-element, low-polarization reflective telescope and provides both intensity and polarization imaging. A miniaturized focal-plane assembly consisting of spectral filters and patterned wire-grid polarizers provides wavelength and polarimetric selection. A custom push-broom detector array with specialized signal acquisition, readout, and processing electronics captures the radiometric and polarimetric information. Focal-plane polarizers at orientations of 0 degrees and -45 degrees yield the normalized Stokes parameters q=Q/I and u=U/I respectively, which are then coregistered to obtain degree of linear polarization (DOLP) and angle of linear polarization. Laboratory test data, calibration results, and outdoor imagery acquired with the camera are presented. The results show that, over a wide range of DOLP, our challenging objective of uncertainty within +/-0.005 has been achieved.
Applied Optics | 2011
Anna Britt Mahler; David J. Diner; Russell A. Chipman
Multiangle Spectropolarimetric Imager (MSPI) sensitivity to static and time-varying polarization errors is examined. For a system without noise, static polarization errors are accurately represented by the calibration coefficients, and therefore do not impede correct mapping of measured to input Stokes vectors. But noise is invariably introduced during the detection process, and static polarization errors reduce the systems signal-to-noise ratio (SNR) by increasing noise sensitivity. Noise sensitivity is minimized by minimizing the condition number of the system data reduction matrix [Appl. Opt.41, 619 (2002)]. The sensitivity of condition numbers to static polarization errors is presented. The condition number of the nominal MSPI data reduction matrix is approximately 1.1 or less for all fields. The increase in the condition number above 1 results primarily from a quarter wave plate and mirror coating retardance magnitude errors. Sensitivity of the degree of linear polarization (DoLP) error with respect to time-varying diattenuation and retardance error was used to set a time-varying diattenuation magnitude tolerance of 0.005 and a time-varying retardance magnitude tolerance of ±0.2°. A Monte Carlo simulation of the calibration and measurements using anticipated static and time-varying errors indicates that MSPI has a probability of 0.9 of meeting its 0.005 DoLP uncertainty requirement.
Proceedings of SPIE | 2006
Anna Britt Mahler; Kurt Thome; Dazhong Yin; William A. Sprigg
Dust is known to aggravate respiratory diseases. This is an issue in the desert southwestern United States, where windblown dust events are common. The Public Health Applications in Remote Sensing (PHAiRS) project aims to address this problem by using remote-sensing products to assist in public health decision support. As part of PHAiRS, a model for simulating desert dust cycles, the Dust Regional Atmospheric Modeling (DREAM) system is employed to forecast dust events in the southwestern US. Thus far, DREAM has been validated in the southwestern US only in the lower part of the atmosphere by comparison with measurement and analysis products from surface synoptic, surface Meteorological Aerodrome Report (METAR), and upper-air radiosonde. This study examines the validity of the DREAM algorithm dust load prediction in the desert southwestern United States by comparison with satellite-based MODIS level 2 and MODIS Deep Blue aerosol products, and ground-based observations from the AERONET network of sunphotometers. Results indicate that there are difficulties obtaining MODIS L2 aerosol optical thickness (AOT) data in the desert southwest due to low AOT algorithm performance over areas with high surface reflectances. MODIS Deep Blue aerosol products show improvement, but the temporal and vertical resolution of MODIS data limit its utility for DREAM evaluation. AERONET AOT data show low correlation to DREAM dust load predictions. The potential contribution of space- or ground-based lidar to the PHAiRS project is also examined.
Applied Optics | 2011
Anna Britt Mahler; Stephen C. McClain; Russell A. Chipman
A method for fabricating an achromatic, athermalized quarter-wave retarder is presented that involves monitoring retardance during polishing. A design specified by thicknesses alone is unlikely to meet specification due to uncertainties in birefringence. This method facilitates successful fabrication to a retardance specification despite these uncertainties. A retarder made from sapphire, MgF(2), and quartz was designed, fabricated, and its performance validated for the 0.470 to 0.865 μm wavelength region. Its specifications are as follows: at wavebands centered at 0.470, 0.660, and 0.865 μm, the band-averaged retardance should be 90°±10° for all fields and retardance should change less than 0.1° for a 1° change in temperature. Retarder fabrication accommodated birefringence and thickness uncertainties via the following steps. The first plate was polished to a target thickness. The retardance spectrum of the first plate was then measured and used to determine a retardance target for the second plate. The retardance spectrum of the combined first and second plates was then used to specify a retardance target for the third plate. The retardance spectrum of the three plates in combination was then used to determine when the final thickness of the third plate was reached.
Applied Optics | 2011
Anna Britt Mahler; Russell A. Chipman
A polarization state generator (PSG) was built to generate light having a degree of linear polarization (DoLP) varying from 0.0005 to 0.4 with 0.0005 uncertainty. The PSG operates by tilting a plane parallel SF11 glass plate in a nearly unpolarized beam. The DoLP of collimated, unpolarized light passing through a plane parallel plate over a defined range of field angles can be calculated from theory, and the PSG was intended to act as a calibration standard based on this calculation. Several effects make the DoLP distribution as a function of field and tilt plate difficult to model to the desired 0.0005 uncertainty: source DoLP and intensity nonuniformity, lens surface diattenuation, and errors in optical alignment. Because of these effects, modeled DoLP was not used as a standard. Instead, DoLP was characterized with repeatability of 0.0005.
Proceedings of SPIE | 2007
Anna Britt Mahler; Paula K. Smith; Russell A. Chipman
Polarization-sensitive optical systems include those requiring very accurate irradiance measurements and those where polarization is the intended measurement. Low-polarization optical system design is the process of minimizing system polarization introduced by surface geometry, thin film coatings and birefringent elements, and measuring system components to verify polarization performance. The complicated, multi-step, iterative low polarization optical system design process requires initial system design, witness sample fabrication and measurement, reverse engineering of fabricated coatings and coating redesign, end-to-end system polarization aberration analysis, and system measurement and calibration. Most of this process will be spent iterating between design and measurement phases until a final design is reached that can be fabricated and calibrated to perform within the desired system tolerances. This work discusses low polarization optical system design using a three-mirror off-axis camera as an example.
Proceedings of SPIE | 2008
Anna Britt Mahler; Nasrat A. Raouf; Paula K. Smith; Stephen C. McClain; Russell A. Chipman
Special enhanced silver mirror coatings were designed and fabricated to minimize the polarization introduced by a three-mirror off-axis high-accuracy telescope. A system diattenuation of approximately 1% in the VIS-NIR was achieved by both reducing the diattenuation from each mirror individually and by balancing the diattenuations introduced by the three mirrors over the spectral range. This process of low-polarization engineering involves minimizing system polarization introduced by surface geometry, thin film coatings and birefringent elements, and measuring the system. In this report we will outline a methodology to minimize instrumental polarization aberrations, with an emphasis on achieving low diattenuation in the MSPI camera, given its off-axis geometry and coating design constraints imposed by the space-based application. This polarization balancing technique for mirror coatings can be applied to astrophysics applications.
Proceedings of SPIE | 2007
Anna Britt Mahler; Russell A. Chipman
When the optical elements of a system are not collinear, there are advantages to aligning all elements simultaneously. This paper presents the steps taken to prepare for system alignment and the alignment plan for such a system. A tolerance analysis of the system defines the compensators necessary for system alignment and allows an estimate of the expected magnitude of initial aberrations present in the system. Polarization and pupil aberrations are characterized in order to further understand expected system aberrations before alignment. A two step alignment plan is outlined. First, a CCD array placed at the focal plane indicates spot size and shape as elements are aligned. Once spot size is minimized, the CCD array is replaced by a ball bearing for retroreflection. Useful interferograms can be obtained with which remaining aberrations can be minimized. This technique is presented as the alignment plan for an off-axis telescope system consisting of one spherical and two ellipsoidal mirrors.
international geoscience and remote sensing symposium | 2008
Anna Britt Mahler; Russell A. Chipman; Stephen C. McClain; David J. Diner; Ab Davis; Nasrat Raouf; Sven Geier; Bruce Hancock
As part of NASAs Instrument Incubator Program (IIP), we have been developing enabling technologies for the Multiangle SpectroPolarimetric Imager (MSPI), a candidate instrument for the Aerosol-Cloud-Ecosytem (ACE) mission. ACE is one of several satellite concepts identified in the 2007 National Research Council Earth Sciences Decadal Survey. MSPI is a multiangle, multispectral, high-accuracy polarization imager, and is envisioned to contain multiple cameras pointed at different viewing angles, with intensity imaging in several spectral bands between the ultraviolet and shortwave infrared, and accurate polarimetric imaging in a subset of the bands. To achieve a degree of linear polarization (DOLP) uncertainty of 1%, we temporally modulate the linear-polarization component of the incoming light at a rapid rate, enabling each detector within a focal-plane array-combined with polarization analyzers-to measure the relative proportions of the linear Stokes components Q or U to the total intensity I. Our system uses tandem photoelastic modulators (PEMs) within a reflective camera design. We report on the status of our prototype camera development, with particular emphasis on theoretical and experimental work on the required and measured performance of optical elements within the system including: the spectropolarimetric filters, quarter wave plates, and tandem PEMs. We also report on the end-to-end measurement and calibration of camera polarization aberrations using a custom polarization state generator (PSG). Careful design and control of scattered light enables the PSG to generate polarization states between DOLP of 0.07% and 40% with an uncertainty of 0.05%, making it a precision tool for polarimetric calibration and validation of MSPI.
Archive | 2008
David J. Diner; Anthony B. Davis; Simon Geier; Bruce Hancock; Nasrat A. Raouf; C. Y. Wrigley; M. A. Bull; Vladan M. Jovanovic; Brian Rheingans; Ghobad Saghri; Russell A. Chipman; Anna Britt Mahler; Stephen C. McClain